English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this paper, a clustering method is proposed to segment al circumferential range image , which is employed回 preprocessingof 3-D shapes modeling for the object that has arbitrary topology. The proposed method performs the image segmentation that the range data points are classifi.ed into domains with similar quadric surfaces. In order to determine the desirable clusters, this method consists of two stages. First, new clusters are created on demand with learning the range data in recursive form (Stage 1). However, a number of wrong clusters are created. In next stage, after dispensable clusters are vanished by the competition of clusters, remaining clusters are gradually agglomerated (Stage 2). Consequently, since the only appropriate clusters are left, the image segmentation can be performed by assigning the data to these clusters.

A Clustering Method for Segmentation of All Circumferential Range Image